Spanish 
Chinese 
Russian 
German 
French 
Japanese 
Portuguese 
Hindi Integration of Drones and Satellite Imaging in Crop Monitoring and Precision Farming
*Corresponding Author: Tabitha K. Mayala, National Institute for Medical Research, Dar es Salaam, Tanzania, Email: Tabitha123@gmail.comReceived Date: Oct 02, 2024 / Published Date: Oct 29, 2024
Citation: Tabitha KM (2024) Integration of Drones and Satellite Imaging in Crop Monitoring and Precision Farming. Adv Crop Sci Tech 12: 754.
Copyright: © 2024 Tabitha KM. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
The integration of drones and satellite imaging technologies has revolutionized crop monitoring and precision farming by providing real-time, high-resolution data for agricultural management. Drones offer the advantage of capturing localized, detailed imagery of crops at a low altitude, enabling the detection of early signs of stress, disease, or pest infestation. Satellite imaging, on the other hand, provides a broader, larger-scale perspective with periodic global coverage, which is useful for monitoring regional trends and macro-level agricultural health. The synergistic use of both technologies enhances data accuracy and timeliness, allowing farmers to make informed, data-driven decisions for optimal resource allocation and improved crop yield. This paper explores the benefits, challenges, and applications of drone and satellite imaging integration in crop monitoring, emphasizing their role in enabling precision farming practices such as soil health monitoring, irrigation management, and yield prediction. Furthermore, the future potential of artificial intelligence and machine learning in processing and analyzing the vast amounts of data generated by these technologies is discussed.
